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BATT vs LITP
BATT vs LITP Comparison
Open Charts BATT vs LITP
Amplify Lithium & Battery Tech ETF
Price$7.97
Change-$0.39 (-4.67%)
Volume$29.07K
Net Assets56.35M
Sprott Lithium Miners ETF
Price$5.53
Change-$0.34 (-5.79%)
Volume$300
Net Assets12.87M
BATT vs LITP Comparison Chart
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BATT vs. LITP commentary
Apr 04, 2025
To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is BATT is a Hold and LITP is a Hold.
SUMMARIES
FUNDAMENTALS
Fundamentals
BATT has more net assets: 56.4M vs. LITP (12.9M). BATT has a higher annual dividend yield than LITP: BATT (-9.432) vs LITP (-17.216). BATT was incepted earlier than LITP: BATT (7 years) vs LITP (2 years). BATT (0.59) has a lower expense ratio than LITP (0.65). LITP has a higher turnover BATT (42.00) vs BATT (42.00).
| BATT | LITP | BATT / LITP | |
| Gain YTD | -9.432 | -17.216 | 55% |
| Net Assets | 56.4M | 12.9M | 437% |
| Total Expense Ratio | 0.59 | 0.65 | 91% |
| Turnover | 42.00 | 59.00 | 71% |
| Yield | 3.34 | 7.37 | 45% |
| Fund Existence | 7 years | 2 years | - |
TECHNICAL ANALYSIS
Technical Analysis
| BATT | LITP | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 90% | 2 days ago 85% |
| Stochastic ODDS (%) | 1 day ago 84% | 2 days ago 83% |
| Momentum ODDS (%) | 1 day ago 87% | 2 days ago 90% |
| MACD ODDS (%) | 1 day ago 88% | 2 days ago 90% |
| TrendWeek ODDS (%) | 1 day ago 88% | 2 days ago 90% |
| TrendMonth ODDS (%) | 1 day ago 88% | 2 days ago 90% |
| Advances ODDS (%) | 10 days ago 89% | 18 days ago 83% |
| Declines ODDS (%) | 1 day ago 89% | 4 days ago 90% |
| BollingerBands ODDS (%) | 1 day ago 90% | 2 days ago 90% |
| Aroon ODDS (%) | N/A | 2 days ago 90% |
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Interesting Tickers
BATT and
Correlation & Price change
A.I.dvisor indicates that over the last year, BATT has been closely correlated with SQM. These tickers have moved in lockstep 69% of the time. This A.I.-generated data suggests there is a high statistical probability that if BATT jumps, then SQM could also see price increases.
1D
1W
1M
1Q
6M
1Y
5Y
| Ticker / NAME | Correlation To BATT | 1D Price Change % | ||
|---|---|---|---|---|
| BATT | 100% | -4.67% | ||
| SQM - BATT | 69% Closely correlated | -0.91% | ||
| PLL - BATT | 66% Closely correlated | -5.75% | ||
| BHP - BATT | 64% Loosely correlated | -2.92% | ||
| ALB - BATT | 62% Loosely correlated | -7.96% | ||
| SGML - BATT | 62% Loosely correlated | -9.88% | ||
More | ||||
LITP and
Correlation & Price change
A.I.dvisor indicates that over the last year, LITP has been closely correlated with SQM. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if LITP jumps, then SQM could also see price increases.
1D
1W
1M
1Q
6M
1Y
5Y
| Ticker / NAME | Correlation To LITP | 1D Price Change % | ||
|---|---|---|---|---|
| LITP | 100% | -5.79% | ||
| SQM - LITP | 77% Closely correlated | -0.91% | ||
| ALB - LITP | 77% Closely correlated | -7.96% | ||
| PLL - LITP | 71% Closely correlated | -5.91% | ||
| SGML - LITP | 59% Loosely correlated | -9.98% | ||
| LAC - LITP | 58% Loosely correlated | -2.17% | ||
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